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  Programi za analizu podataka data mining

       
       
       
       
  ELKI je open source (AGPLv3) data mining software pisan u Javi. Fokus ELKI je istraživanje u algoritmima, s naglaskom na nadziru metoda u klaster analize i otkrivanja osoba koja ne živi.Kako bi se postigla visoke performanse i skalabilnost, ELKI nudi mnoge indeksnih podataka strukture, kao što su R * -tree koja može pružiti veće učinkovitosti dobitke.   Provalis Vidimo analizu drugačije. Kao znanosti i umjetnosti. Jer dok analiza ne sebi spojiti na kreativnosti, više kreativni pristup razvoju analiza programskih rezultata u konačnici više fleksibilni i user-friendly alata, s potencijalom preko više polja, više važnosti za više publike, i tako dalje. Ovaj pristup, a softver je dala povoda, dopušta istraživanje lideri diljem svijeta ostati lakše i ekonomičnije na vrhu svoje igre - da li u današnjem visoko konkurentnom akademskoj areni, ili jednako izazovan i zahtjevan globalne poslovne ekonomije.
       
  TANAGRA je besplatan data mining software za akademske i istraživačke svrhe. Ona predlaže nekoliko metoda rudarenja podataka iz istraživački analizu podataka, statističke učenja, strojnog učenja i baze podataka području.   Weka je skup algoritama strojnog učenja za data mining zadatke. Algoritmi ili se mogu primijeniti izravno na skup podataka ili naziva iz vlastite Java koda. Weka sadrži alate za data pred-obrade, klasificiranja, regresija, klastera, pravilima udruge i vizualizaciju. To je također dobro prilagođen za razvoj novih programa za strojno učenje.
       
  RapidMiner integrirano okruženje za strojno učenje, rudarenje podataka, tekst rudarstvo, analitiku i poslovne analitike.   SCaVis je okruženje za znanstveno računanje, analiza podataka i vizualizacija podataka dizajniran za znanstvenika, inženjera i studenata. Program uključuje brojne open-source softverske pakete u koherentnu sučelje koristeći koncept dinamičkog skriptiranje.
  The Data Toolbar is an intuitive web scraping tool that automates web data extraction process for your browser free download . Simply point to the data fields you want to collect and the tool does the rest for you. Data Tool is designed for everyday business users and requires no technical skill. Within minutes you will be extracting thousands of data records from your favourite free or subscription web sites.   XScraper is a data mining software and XPath expression tester, especially useful in seo. Helpful when comes to scrape urls and other data from websites. Free version is available with basic functions: testing XPath expressions and for manual data scraping. Extended version (support multiple footprints and full auto mode) currently is available only for few beta testers.
       
  Orange  Data Mining - Fruitful and Fun free downloadOpen source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics.   Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
       
  Rattle (the R Analytical Tool To Learn Easily) presents statistical and visual summaries of data, transforms data into forms that can be readily modelled, builds both unsupervised and supervised models from the data, presents the performance of models graphically, and scores new datasets.   SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source software packages into a coherent interface using the concept of dynamic scripting. SCaVis can be used everywhere where an analysis of large numerical data volumes, data mining, statistical analysis and mathematics are essential (natural sciences, engineering, modeling and analysis of financial markets). SCaVis is fully multiplatform and runs on any platform where Java is installed. As a Java application, SCaVis takes the full advantage of multicore processors.